An Object-Oriented approach to Shiny modules

25 Years of Small-Molecule Optimization at Novartis: A Retrospective Analysis of Chemical Series Evolution

Prediction of Small-Molecule Developability Using Large-Scale In Silico ADMET Models

The package analyzes chromatin and multi-omic experiments. It extends the MultiAssayExperiment object and builds a ChrawExperiment object from ENCODE’s output. It performs QC plotting, identifies differential events and other functionalities. More details in package vignettes.

A Python library for benchmarking uncertainty estimation and quantification methods for Machine Learning models predictions

An R-package for performing dynamic path analysis on survival data with estimation of the corresponding direct, indirect, and total effects.

Predicting pharmacokinetic compartmental models and concentration-time curves from chemical structure using deep learning

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

Deep survival analysis made easy

Applied modelling in drug development: flexible Bayesian regression modelling in Stan via brms